ADMINISTRATOR L3(CONTRACT)
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026.
͏
Support the Kafka Engineering Team in onboarding applications, connectors, producers, consumers, and streaming workloads through automated CI/CD pipelines.
2. Design, deploy, administer, and maintain Confluent Platform components including Kafka Brokers, KRaft Controllers, Schema Registry, Kafka Connect, Control Center
3. Develop and automate Kafka infrastructure deployments using Ansible, Terraform, Jenkins, Git repositories, and Infrastructure-as-Code frameworks.
4. Implement and support Kafka services on OpenShift, Kubernetes, cloud, and hybrid environments.
5. Assist application teams in troubleshooting Kafka connectivity, performance, messaging, schema, and integration issues.
6. Configure and support Kafka Connect source and sink connectors, data pipelines, and platform integrations.
7. Implement and maintain RBAC, ACLs, SSL/TLS, mTLS, encryption, certificate management, and security controls.
8. Perform lifecycle management of SSL/TLS certificates including provisioning, rotation, renewal, auditing, and revocation.
9. Design and validate Disaster Recovery (DR), Cluster Linking, replication, failover, and resilience solutions.
10. Monitor Kafka platform health, capacity, availability, consumer lag, throughput, latency, and operational metrics.
11. Apply platform upgrades, patches, security remediations, and software lifecycle management activities.
12. Leverage AI-powered tools such as GitHub Copilot, Microsoft Copilot, and Amazon Kiro to improve engineering productivity, automate repetitive operational tasks, accelerate troubleshooting, and generate technical documentation.
13. Develop AI-enabled automation solutions for Kafka onboarding, connector deployment, configuration validation, operational runbooks, incident response, and platform governance.
14. Partner with Infrastructure, Security, Network, Cloud, and Application teams to deliver secure, scalable, and resilient streaming platforms.
15. Create and maintain operational runbooks, platform standards, architecture documentation, and disaster recovery procedures.
16. Drive continuous improvement initiatives through automation, AI-assisted engineering practices, self-service capabilities, and platform modernization.
͏
Version Control Systems: Atlassian Bitbucket, GitHub, GitLab.
- Containerization and Orchestration: Docker, Kubernetes, Red Hat OpenShift.
- Streaming Platforms: Confluent Platform (Kafka), Apache Kafka, Schema Registry, Kafka Connect, Control Center, ksqlDB.
- Configuration Management and Infrastructure as Code (IaC): Ansible, Terraform, Chef.
- Cloud Computing Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure.
- Build and Automation Tools: Jenkins, Maven, Gradle, GitLab CI/CD.
- Continuous Integration and Continuous Deployment (CI/CD): Jenkins, Ansible, GitLab CI/CD.
- Operating Systems and Scripting: Red Hat Enterprise Linux, Bash Shell Scripting, Python, JavaScript.
- Experience with Kafka cluster deployment, upgrades, migrations, and multi-region implementations.
- Linux/Unix administration and performance tuning.
- Enterprise security, SSL/TLS, mTLS, RBAC, ACLs, and certificate lifecycle management.
- Monitoring and Observability: Dynatrace, Splunk, Prometheus, Grafana, Confluent Control Center.
- Disaster Recovery, Cluster Linking, Replication, and High Availability architectures.
- AI-assisted development tools such as Microsoft Copilot, Amazon Kiro and AI-powered DevOps automation platforms.
- Confluent for Kubernetes (CFK) deployment, administration, and lifecycle management.
- Experience deploying and managing Kafka Connect clusters using CFK on OpenShift and Kubernetes.
- Expertise in Kubernetes Operators, Custom Resource Definitions (CRDs), StatefulSets, and containerized Kafka workloads.
- Experience with GitOps and CI/CD-driven Kafka Connect deployments using CFK, Ansible, Jenkins, bitbucket.
- Knowledge of Kafka Connect plugin management, connector scaling, fault tolerance, and high availability.
- Experience leveraging AI tools to automate deployments, troubleshooting, documentation, code generation, operational workflows, and platform support activities.
- Coordination with Network, Storage, Security, Infrastructure, Cloud, and Application teams.
.The expected compensation for this role ranges from $45,000 to $110,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.